Data Science for Undergraduates: Opportunities and Options
2018

Consensus

You must be logged in to download this publication.

Select Book Type

Paperback - $40.50
Ebook - $33.29

See project
Request an exam or desk copy

Data science is emerging as a field that is revolutionizing science and industries alike. Work across nearly all domains is becoming more data driven, affecting both the jobs that are available and the skills that are required. As more data and ways of analyzing them become available, more aspects of the economy, society, and daily life will become dependent on data. It is imperative that educators, administrators, and students begin today to consider how to best prepare for and keep pace with this data-driven era of tomorrow. Undergraduate teaching, in particular, offers a critical link in offering more data science exposure to students and expanding the supply of data science talent.

Data Science for Undergraduates: Opportunities and Options offers a vision for the emerging discipline of data science at the undergraduate level. This report outlines some considerations and approaches for academic institutions and others in the broader data science communities to help guide the ongoing transformation of this field.

Additional materials

Press Release
Report Briefing Slides

Publication information

138 pages · 6 x 9 · paperback
ISBN Paperback: 0-309-47559-7
ISBN Ebook: 0-309-47560-0
DOI: https://doi.org/10.17226/25104

Suggested citation

National Academies of Sciences, Engineering, and Medicine. 2018. Data Science for Undergraduates: Opportunities and Options. Washington, DC: The National Academies Press.

Import this citation to:

Bibtext
EndNote
Reference manager

First Name
Last Name
Email (required)
I agree to receive emails from the National Academies (required)

We respect your privacy and will never share your information.

Search this publication

Front Matter i-xviii
Summary 1-5
1 Introduction 6-11
2 Knowledge for Data Scientists 12-34
3 Data Science Education 35-59
4 Starting a Data Science Program 60-71
5 Evolution and Evaluation 72-86
6 Conclusions 87-92
Appendixes 93-94
Appendix A: Biographies of the Committee 95-104
Appendix B: Meetings and Presentations 105-110
Appendix C: Contributing Individuals 111-116
Appendix D: Data Science Oath 117-120

Log In

Former MyNAP users: You'll need to reset your password on your first login to MyAcademies. Click "Forgot password" below to receive a reset link via email. Having trouble? Visit our FAQ page to contact support.

Members of the National Academy of Sciences, National Academy of Engineering, or National Academy of Medicine should log in through their respective Academy portals.

Email (required)
Password (required)

Don't have an account?

Register

Email (required)
New password (required)
Retype password (required) Password must be at least 8 characters
I accept the terms of use
terms of use

Thank You

Thank you for creating a MyAcademies account!

Enjoy free access to thousands of National Academies' publications, a 10% discount off every purchase, and build your personal library.

Forgot Password

Enter the email address for your MyAcademies (formerly MyNAP) account to receive password reset instructions.

Email (required)

Reset Requested

We sent password reset instructions to your email . Follow the link in that email to create a new password. Didn't receive it? Check your spam folder or contact us for assistance.

Reset Password

New password (required)
Retype password (required) Password must be at least 8 characters

Reset Password

Your password has been reset.

Verify email

Verify Your Email Address

We sent a verification link to your email. Please check your inbox (and spam folder) and follow the link to verify your email address. If you did not receive the email, you can request a new verification link below

Data Science for Undergraduates: Opportunities and Options (2018)

Chapter: 3 Data Science Education

Additional materials

Publication information

Suggested citation

My Academies

Data Science for Undergraduates: Opportunities and Options (2018)

Chapter: 3 Data Science Education